A

Annie Mo

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Redmond, Washington, United States

Contact Annie regarding: 
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Full-time jobs
Starting at USD140k/year

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Résumé


Jobs verified_user 0% verified
  • CorroHealth
    Staff Data Engineer
    CorroHealth
    May 2024 - Current (2 years 6 months)
    • Architected and scaled a cloud-native data platform for an AI-driven coaching product, delivering end-to-end data capabilities across ingestion, transformation, warehousing, and analytics.
    • Built and optimized large-scale data pipelines and Snowflake-based data models to support real-time analytics, machine learning, and product intelligence.
    • Established robust orchestration, data quality, and observability frameworks to ensure reliability, scalability, and operational efficiency.
    • Partnered with cross-functional stakeholders to translate business needs into high-impact data products and KPIs, enabling data-driven decision-making.
    • Led data platform best practices, mentoring engineers and driving improvements in p
  • Cummins
    Lead Data Engineer
    Cummins
    Feb 2021 - Dec 2023 (2 years 11 months)
    • Designed and maintained scalable ETL/ELT pipelines ingesting retail transactions, customer behavior, and inventory data into cloud data warehouses to support analytics and operational reporting.
    • Developed Python and SQL-based transformation workflows to cleanse, standardize, and integrate multi-source datasets, improving reporting accuracy and downstream reliability.
    • Built and optimized dimensional data models to enable merchandising analytics, demand forecasting, pricing optimization, and customer segmentation.
    • Implemented workflow orchestration using Airflow to automate batch processing, manage dependencies, and enhance pipeline stability and recovery.
    • Leveraged cloud platforms and distributed processing fram
  • Dataforest
    Senior Data Engineer
    Dataforest
    Dec 2018 - Sep 2020 (1 year 10 months)
    • Architected and delivered secure, scalable healthcare data platforms integrating clinical, claims, and operational datasets for analytics and regulatory reporting.
    • Built and optimized ETL frameworks to standardize sensitive healthcare data, enabling advanced analytics, care optimization, and compliance.
    • Designed domain-specific data models supporting population health, utilization analysis, and patient outcomes measurement.
    • Established governance, security, and access control practices aligned with HIPAA, ensuring trusted and compliant data ecosystems.
    • Partnered with data science and analytics teams to enable predictive modeling and data-driven decision-making.
    • Drove performance optimization across data
  • CHI Software
    Data Engineer
    CHI Software
    Jan 2016 - Sep 2018 (2 years 9 months)
    • Built foundational data pipelines and models supporting financial analytics, including transactions, revenue tracking, and fraud detection.
    • Developed scalable ETL frameworks using Python and SQL to integrate and reconcile complex financial datasets.
    • Designed data models enabling reporting, auditing, and operational insights across finance functions.
    • Automated data processing workflows, improving reliability and operational efficiency.
    • Collaborated with business stakeholders to deliver actionable data products and dashboards.
    • Established data quality and monitoring practices to ensure trusted and production-ready data systems.
Education verified_user 0% verified
  • B
    Bachelor of Computer Science
    May 2011 - Sep 2015 (4 years 5 months)
Projects (professional or personal) verified_user 0% verified
  • H
    Healthcare Outcomes & Population Analytics Platform
    May 2020 - Aug 2022 (2 years 4 months)
    Led development of a secure healthcare analytics platform ingesting clinical and claims datasets for population health and care quality analysis. Implemented HIPAA-compliant ETL pipelines, governed data models, and curated datasets enabling predictive modeling, utilization tracking, and regulatory reporting across clinical and operational teams.
  • A
    AI Coaching Intelligence Data Platform
    Sep 2023 - Nov 2025 (2 years 3 months)
    Designed and implemented an end-to-end Snowflake-based data platform powering an AI-driven coaching product. Built scalable Python and Spark pipelines to process behavioral events, coaching sessions, and LLM generated outputs. Developed curated data models enabling product analytics, user progress tracking, and ML experimentation while implementing monitoring, data quality validation, and secure access controls to ensure reliable and governed analytics.
  • F
    Financial Transactions Monitoring & Revenue Analytics System
    Aug 2018 - Nov 2020 (2 years 4 months)
    Built a financial data warehouse solution consolidating payment transactions and customer activity data to support fraud detection and revenue reporting. Developed automated ETL workflows, reconciliation logic, and performance-optimized reporting models that improved financial transparency, reduced data discrepancies, and strengthened audit readiness.